
A Framework for Enabling Distributed Applications on the Internet
by Mark Anthony McLaughlin
Publisher: arXiv 2006
Number of pages: 133
Description:
The last five years have seen the rapid rise in popularity of what we term internet distributed applications (IDAs). These are internet applications with which many users interact simultaneously. IDAs range from P2P file-sharing applications, to collaborative distributed computing projects, to massively multiplayer online games (MMOGs). Currently, there is no framework that combines IDAs collectively within a single context. We provide a basis for such a framework here.
Download or read it online for free here:
Download link
(1.1MB, PDF)
Similar books
Parallel Computing: Architectures, Algorithms and Applicationsby C. Bischof, at al. - John von Neumann Institute for Computing
The book gives an overview of the developments, applications and future trends in high performance computing for all platforms. It addresses all aspects of parallel computing, including applications, hardware and software technologies.
(12930 views)
BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computingby Alan Kaminsky - Rochester Institute of Technology
With the book BIG CPU, BIG DATA, my goal is to teach you how to write parallel programs that take full advantage of the vast processing power of modern multicore computers, compute clusters, and graphics processing unit (GPU) accelerators.
(9444 views)
An introduction to one-way quantum computing in distributed architecturesby Earl T. Campbell, Joseph Fitzsimons - arXiv
This review provides a gentle introduction to one-way quantum computing in distributed architectures. One-way quantum computation shows significant promise as a model for distributed systems, particularly probabilistic entangling operations.
(11907 views)
Is Parallel Programming Hard, And, If So, What Can You Do About It?by Paul E. McKenney
The purpose of this book is to help you understand how to program shared-memory parallel machines. By describing the algorithms that have worked well in the past, we hope to help you avoid some of the pitfalls that have beset parallel projects.
(16307 views)